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# Speech_Emotion_Detection
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Emotion detection is a new research era in health informatics and forensic technology
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.Besides having some challenges ,voice based emotion recognition is getting popular .As
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the situation where the facial image is not available ,the voice is the only way to detect
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the emotional or psychiatric condition of a person.
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However ,the voice signal is so dynamic even in a short-time frame so that ,a voice of the same person can differ with in
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a very subtle period of time. So there is a need to detect emotion of the person through
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his/her voice. It detects five emotion states from person’s voice (happy ,angry ,fearful
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,sad ,calm). Some of the applications where we can implement this include call centers
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to redirect to a person when one is angry ,smart car slowing down when one is angry or
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fearful.
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This repository contains my work on speech emotion detection using <a href="https://zenodo.org/record/1188976#.Xl-poCEzZ0w" > RAVDESS</a> dataset.
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The models which were discussed in the repository are MLP,SVM,Decision Tree,CNN,Random Forest.

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